{"id":"W3006263173","doi":"10.1145/3143314.3078529","title":"Optimal Posted Prices for Online Cloud Resource Allocation","year":2017,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Renting; Resource (disambiguation); Resource allocation; Computer science; Function (biology); Resource management (computing); Microeconomics; Business; Environmental economics; Operations research; Economics; Distributed computing; Mathematics; Computer network; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005332557,0.0002171081,0.0003314683,0.0002541335,0.0009194322,0.000378896,0.003321936,0.00006814033,0.00001625907],"category_scores_gemma":[0.005004398,0.0001876904,0.0001412235,0.0008111906,0.00004484088,0.0002070286,0.0009584673,0.0001534171,0.00005163208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308296,"about_ca_system_score_gemma":0.0001162456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006498715,"about_ca_topic_score_gemma":0.000001257773,"domain_scores_codex":[0.9973736,0.0001166232,0.00058112,0.0005696343,0.001015856,0.0003431828],"domain_scores_gemma":[0.9952984,0.0003242147,0.0008470018,0.002718388,0.0007185212,0.00009348381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005400218,0.00008918905,0.0002575768,0.0008489997,0.00003029157,3.887032e-7,0.0000687682,0.007025245,0.000007745756,0.0007604151,0.006929289,0.9839767],"study_design_scores_gemma":[0.0006448434,0.0001983734,0.01184852,0.001131449,0.0001234404,0.000004868327,0.000008617552,0.8070942,0.00007084893,0.00008443461,0.1785119,0.0002784275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6347852,0.09630801,0.2092019,0.0441452,0.002674142,0.008092956,0.00001479604,0.0006317435,0.004146076],"genre_scores_gemma":[0.6422612,0.02773794,0.3189073,0.006788821,0.001571192,0.0006658148,0.0002456726,0.0000760358,0.001745978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9836982,"threshold_uncertainty_score":0.7653793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09062879271793992,"score_gpt":0.3616161231277518,"score_spread":0.2709873304098118,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}